charts

4 rows where song_id = "1da1c75d7f205a3cd08fcd6252647a20"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: jumps

id ▼ song_id steps jumps beats type difficulty meter
1da1c75d7f205a3cd08fcd6252647a20-challenge-9 Neon Cat 1da1c75d7f205a3cd08fcd6252647a20 478 13 324 dance-single: challenge 9
1da1c75d7f205a3cd08fcd6252647a20-easy-3 Neon Cat 1da1c75d7f205a3cd08fcd6252647a20 170 13 324 dance-single: easy 3
1da1c75d7f205a3cd08fcd6252647a20-hard-8 Neon Cat 1da1c75d7f205a3cd08fcd6252647a20 431 8 324 dance-single: hard 8
1da1c75d7f205a3cd08fcd6252647a20-medium-5 Neon Cat 1da1c75d7f205a3cd08fcd6252647a20 250 22 324 dance-single: medium 5

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [charts] (
   [song_id] TEXT REFERENCES [songs]([id]),
   [steps] INTEGER,
   [jumps] INTEGER,
   [beats] INTEGER,
   [type] TEXT,
   [difficulty] TEXT,
   [meter] INTEGER,
   [id] TEXT PRIMARY KEY
);